2008
DOI: 10.1002/elps.200700659
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An advanced application of the quantitative structure–activity relationship concept in electrokinetic chromatography of metal complexes

Abstract: The relevance of the quantitative structure-activity relationship (QSAR) principle in MEKC and microemulsion EKC (MEEKC) of metal-ligand complexes was evaluated for a better understanding of analyte migration mechanism. A series of gallium chelates were applied as test solutes with available experimental migration data in order to reveal the molecular properties that govern the separation. The QSAR models operating with n-octanol-water partition coefficients or van der Waals volumes were found to be valid for … Show more

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Cited by 13 publications
(11 citation statements)
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References 24 publications
(25 reference statements)
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“…78 for the analysis of platinum (II) and platinum (IV) complexes which are used in anticancer drugs. The migration behaviour and Log P ow , which reflects the uptake of such metal complexes into the cell, has previously been described in MEEKC 79, 80. Coupling MS to element specific ICP resulted in enhanced sensitivity and selectivity.…”
Section: Advances In Chiral Separations Utilising Meekcmentioning
confidence: 81%
“…78 for the analysis of platinum (II) and platinum (IV) complexes which are used in anticancer drugs. The migration behaviour and Log P ow , which reflects the uptake of such metal complexes into the cell, has previously been described in MEEKC 79, 80. Coupling MS to element specific ICP resulted in enhanced sensitivity and selectivity.…”
Section: Advances In Chiral Separations Utilising Meekcmentioning
confidence: 81%
“…octanol‐water partition coefficient (log P ), are relevant and useful in the assessment of a drug's bioactivity. In recent years, extensive research efforts have been made in MEEKC for the determination of log P . Log P enabled its use for compound hydrophobicity assessment and could be calculated by: Log P=a log k+bwhere a , b, and k represent the slope, intercept, and capacity factor, respectively.…”
Section: Applicationsmentioning
confidence: 99%
“…Although an appreciable number of articles have been reported to date in MEKC, more study is needed to turn these possibilities into the realization of reliable and robust models for compounds of diverse structures. In this context, it is noteworthy to point out the use of multiple linear regression and artificial neural networks to predict the migration factors of benzene derivatives in MEKC 129, as well as of other correlation algorithms 130, 131.…”
Section: Approaches For Improving Resolutionmentioning
confidence: 99%